Research Scientist Intern, Agentic AI Job at Meta (Bellevue)

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

Data Science Intern

Join CHECK24 AI Forge GmbH in Munich and contribute to the ongoing development o...

Location

Germany , Munich

Salary:

Not provided

CHECK24

Expiration Date

Until further notice

Requirements

Currently enrolled in a degree program in Computer Science, Data Science, Mathematics, or a related field
Proficient in Python, with hands-on experience in data manipulation, analysis, and machine learning libraries (e.g., Pandas, NumPy, Scikit-learn, PyTorch), and familiar with Generative AI frameworks such as LangChain
Strong analytical skills, with the ability to extract meaningful insights from complex datasets and communicate findings effectively
Fluent in English
knowledge of German is a plus

Job Responsibility

Research cutting-edge NLP techniques, with a focus on property-value extraction and retrieval-augmented generation (RAG) solutions to improve accuracy
Design and develop AI agents for autonomous information retrieval and extraction, leveraging RAG frameworks and MCP standards to enhance performance and collaboration
Plan and conduct benchmarking experiments to evaluate LLM outputs and support the evaluation pipeline
Help develop and optimize small language models (SLMs) for efficient information extraction from documents
Clean, preprocess, and analyze both structured and unstructured data to improve the performance of large language models (LLMs)
Collaborate with data scientists to integrate new solutions and findings into products, ensuring scalability and addressing deployment challenges
Document methodologies, findings, and insights to share knowledge and best practices within the team

What we offer

Diverse insights in an innovative and modern work environment: Experience the blend of an agile startup and a successful e-commerce company
Optimal career preparation: Gain practical experience, receive intensive support, and regular feedback from colleagues to build a solid foundation for your career
Independent work: Quickly take on independent tasks and responsibility for exciting projects
CHECKito Spirit: Work in a relaxed yet professional environment with open communication, no dress code, and team celebrations at company events
Food & drinks: Enjoy free beverages, muesli, fresh fruit, and lunch three times a week
Vouchers & discounts: Receive vouchers for various CHECK24 products and discounted sports benefits (Wellpass membership and in-house fitness courses)
Central location: Our office is ideally located with excellent public transport connections

Fulltime

Senior Software Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field and 4 or more years in applied ML or AI research and product engineering
Master’s degree and 3 or more years in applied ML or AI research and product engineering
PhD in a relevant field and 2 or more years with generative AI, LLMs, or related ML algorithms
Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow
Experience deploying Fine Tuned LLMs or multimodal models in live production environments
Experience shipping and maintaining production AI systems
Ability to meet Microsoft, customer, and government security screening requirements
Microsoft Cloud Background Check upon hire or transfer and every two years thereafter

Job Responsibility

Bringing State-of-the-Art Research to Products
Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
Drive original research and thought leadership (whitepapers, internal notes, patents)
convert insights into shipped capabilities
Research Translation: Continuously review emerging work
identify high-potential methods and adapt them to Microsoft problem spaces
End-to-End System Development
ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops

Fulltime